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TinyNET: a tiny network framework for TinyOS
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Source International Conference On Communications And Mobile Computing archive
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly table of contents
Leipzig, Germany
SESSION: Invited papers table of contents
Pages 580-585  
Year of Publication: 2009
ISBN:978-1-60558-569-7
Authors
Angelo P. Castellani  University of Padova, Via G. Gradenigo, Padova, Italy
Paolo Casari  University of Padova, Via G. Gradenigo, Padova, Italy
Michele Zorzi  University of Padova, Via G. Gradenigo, Padova, Italy
Sponsors
ACM: Association for Computing Machinery
: Wiley-Blackwell
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper we present TinyNET, a modular framework that allows development and quick integration of protocols and applications for Wireless Sensor Networks in TinyOS. As a sample experience of software development using TinyNET, we employ an environmental monitoring application. We organize our network testbed in a converge-casting topology, where the sink gathers the data collected by all sensors. Routing toward the sink is achieved based on a hop-count based algorithm. Our framework also integrates support for the 6LowPAN standard, which becomes therefore integrated with other network components and allows, e.g., to query single sensors within the network using ping messages. Thanks to TinyNET, these messages will make transparent use of the underlying network protocols. The main advantages yielded by TinyNET are found in the modularity of network components, in specific code that transparently manages the interfaces among different modules and translates standard TinyOS interfaces into new TinyNET ones, and in the readily available infrastructure to multiplex different applications over the same network stack. This allows a global vision of the system as well as the chance to focus on the design of separate components.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Angelo P. Castellani: colleagues
Paolo Casari: colleagues
Michele Zorzi: colleagues